Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5V
Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Llama 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Llama 4 Scout
Meta
2025-04-05
GLM-4.5V
Zhipu AI
2025-08-11
4 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5V

Llama 4 Scout
Performance Metrics
Context window and performance specifications
GLM-4.5V

Llama 4 Scout
Average performance across 12 common benchmarks
GLM-4.5V

Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
GLM-4.5V

Llama 4 Scout